65 citations · 186 across the 24 of their papers we have counts for
26 papers
Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy Projection Images of Unknown Pose
Supawit Chockchowwat, Chandrajit L. Bajaj
A crucial step in single particle analysis (SPA) of cryogenic electron microscopy (Cryo-EM), 2D classification and alignment takes a collection of noisy particle images to infer or…
Physics-informed neural networks via stochastic Hamiltonian dynamics learning
Chandrajit Bajaj, Minh Nguyen
In this paper, we propose novel learning frameworks to tackle optimal control problems by applying the Pontryagin maximum principle and then solving for a Hamiltonian dynamical sys…
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning
Chandrajit Bajaj, Avik Roy, Haoran Zhang
Variational Autoencoders (VAEs) have been shown to be remarkably effective in recovering model latent spaces for several computer vision tasks. However, currently trained VAEs, for…
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors
Arman Maesumi, Mingkang Zhu, Yi Wang +3
This paper presents a novel patch-based adversarial attack pipeline that trains adversarial patches on 3D human meshes. We sample triangular faces on a reference human mesh, and cr…
Can 3D Adversarial Logos Cloak Humans?
Yi Wang, Jingyang Zhou, Tianlong Chen +4
With the trend of adversarial attacks, researchers attempt to fool trained object detectors in 2D scenes. Among many of them, an intriguing new form of attack with potential real-w…
A Fast and Adaptive Algorithm to Compute the X-ray Transform
Chong Chen, Runqian Wang, Chandrajit Bajaj +1
We propose a new algorithm to compute the X-ray transform of an image represented by unit (pixel/voxel) basis functions. The fundamental issue is equivalently calculating the inter…